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Search results for: fuzzy network
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Year: 2020, Volume: 20, Number: 2
... out as extensions of this work are: analysis using fuzzy modeling to represent inaccurate data, including more optimistic ... Firefly Algorithm Based Optimization Model for Planning of Optical Transport Networks Bruno Quirino de OLIVEIRA1,2, Marcos Antônio ... in order to meet the new traffic requirements. Under network becomes more complex, the efficient use of its ...
Year: 2020, Volume: 20, Number: 2
... techniques such as linear, I. INTRODUCTION nonlinear and fuzzy approaches by Yadav and Chandel [11]. ... . F. Yaka, and G. T. networks," (in English), Iet Renewable ... solar radiation forecasting [10]. The artificial neural network (ANN) is one of the choices Index ...
Year: 2020, Volume: 20, Number: 2
... . Mathematically, Gil et al. have developed a fuzzy model for determining travel and delay times on a ... a prediction model for the models such as artificial neural networks (ANNs) have been activities of companies [ ... ARIMA is widely Machine (SVM), Autoregressive Neural Network, LSTM, used because of its simplicity and ...
Year: 2020, Volume: 20, Number: 2
... 123, pp. 445-452, 2016, Intelligent& Fuzzy Systems, vol. 34, no. 4 ... forecast energy demand of Turkey," Energy artificial neural networks," Energy, vol. 35, no ... an important role in the economic and social artificial neural network (ANN). Ekonomou [10] have ...
Year: 2020, Volume: 20, Number: 1
... to minimize power loss in FAPSO [14]: Fuzzy adaptive particle swarm smart grids. The most commonly ... — In this study, a human immune system based networks and use automated, computation and wound healing algorithm ... Simulation results show that the actual power loss is the network to control and distribute energy. Thus it reduces ...
Year: 2019, Volume: 19, Number: 3
... Computer Engineering Volume 19, Number 3, 2019 A Fuzzy AHP Approach for Security Risk Assessment in SCADA Networks ... D. MARKOVIC-PETROVIC1, Mirjana D. STOJANOVIC2, Slavica V. BOSTJANCIC RAKAS3 1 Public Enterprise Electric Power Industry ... ALE), and simultaneous distributed attacks on the SCADA network Return on Security Investment (ROSI). Qualitative ...
Year: 2019, Volume: 19, Number: 3
... laboratory, applications. The use of classifiers based on Fuzzy models is where the insulators were divided into three ... 2019 Spectral Subband Centroid Energy Vectors Algorithm and Artificial Neural Networks for Acoustic Emission Pattern Classification Marcus Tulius Barros FLORENTINO1 ... proposes the use of artificial about a new artificial neural network training algorithm was neural networks (ANN) for ...
Year: 2019, Volume: 19, Number: 3
... 36], support vector machine [37], fuzzy logic principles [38] SOC  SOC0 ï€ ... , neural estimate the SOC value according to the corresponding networks. relationship between the open circuit voltage/resistance ... 19, Number 3, 2019 Modeling of Back-Propagation Neural Network Based State-of-Charge Estimation for Lithium- Ion Batteries with ...
Year: 2019, Volume: 19, Number: 2
... distribution static to manage hybrid storage systems for power quality compensator was designed with neural fuzzy network to enhancement in microgrids. reduce the harmonics of grid current and improve ... voltage of DC-link. The method reduces the harmonic III. RES INTEGRATION distortion by up to 4% for the tests performed under the RESs can be installed using ...
Year: 2019, Volume: 19, Number: 2
... to society and fines to the energy utility. and fuzzy logic. However, it is not considered a ... Consumer Unit. The proposed The analysis of power distribution networks has been methodology consists in choosing feeders to receive ... impact on the system level of medium voltage in distribution network. However, operation since it is related to ...
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